Led a data driven segments (DDS) project to categorize millions of unknown website visitors into 8 clusters using a combination of unsupervised ML (k-means clustering) & supervised ML (Decision Trees). These segments allow the Fortune 500 client to personalize the experience (at scale) for visitors with different characteristics/behaviors. Technologies/methods : k-means clustering, decision trees, Spark (python), Databricks, Impala (SQL)

Showcased out of the box thinking to completely revamp an error-prone ETL process for one of the world’s largest music companies (combining together hundreds of Artists’ website data along with their metadata). Technologies/methods : Google Cloud Storage (buckets), BigQuery, Tableau

• Owner of the Smartsheet implementation for the Inventory Department (only 1 of 3 in the entire company of 200+).
• Became a product expert by designing and testing several Smartsheets to lean out inefficient email processes and encourage collaboration.
• Managed & trained 5 people on the Inventory Administration team.
• 1 of 2 Certified Supply Chain Professionals amongst the Inventory Department (20+ people).

• Tested, pitched, and implemented a time tracking service (Toggl) throughout the entire department.
• This helped gather the data to visualize each analyst’s workload and built a strong case for us to hire more analysts and focus on our core competencies.

• Showed consistent sales growth MoM ending with a personal best of $150k in May 2012.
• 85% of my customers rated my customer service as good or excellent.
• Volunteered to design a tile layout diagram to educate customers (still being used on the site)

• 100% on mystery shop (only 2nd out of 9 employees).
• 9 straight months of green in all metrics (activations, warranties, & accessories).
• As a key holder and senior consultant, trained new employees.

• Contacted citizens, by phone or door-to-door, urging them to complete their Census forms.
• Learned a lot about the roadblocks to collecting high-quality data